COVID-19 Analysis 
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Cross-country Analysis
Country table
Most affected countries
Cases by percentage of most affected countries
Cases over time time for ten most affected countries
With China
Without China
Composition of cases by country
Counted cases
Cases by percentage of population
Progression by country
Progression plots of counted cases or cases by percentage of population by number of day(s) since first reported incident using linear or log scale y-axes.
Percentages (linear scale)
Percentages (log scale)
Cases (linear scale)
Cases (log scale)
Analysis for Austria
Cases over time by Austrian state
Composition of cases by Austrian state
Reported cases
Cases per 100.000 residents
Progression by Austrian state
State-level progression of counted cases by number of days since first reported incident.
Cases (linear scale)
Cases (log scale)
Confirmed cases by Austrian district
Maps
Time series
Table
Resources
- Data:
- Data for cross-country analysis taken from the COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE.
- Austrian data taken from BMSGPK, Gesundheitsministerium.at and derStandard. Population by district from Statistik Austria.
Shapefile: EEA.
Favicon: https://icons8.com/.
Inspiration: Yanchang Zhao, COVID-19 Data Analysis with Tidyverse and Ggplot2 – Worldwide. RDataMining.com, 2020. URL: http://www.rdatamining.com/docs/Coronavirus-data-analysis-world.pdf.
Reuse: Source code is available at https://github.com/amannj/COVID-19/, unless otherwise noted.
Visualization and data preparation using the Tidyverse.